2022 IEEE International Conference on Consumer Electronics (ICCE)最新文献_第7页

Implementation of Distributed Microwave Power Transfer with Backscatter Feedback and LM-Based Phase Optimization 基于反向散射反馈和lm相位优化的分布式微波功率传输实现

2022 IEEE International Conference on Consumer Electronics (ICCE) Pub Date : 2022-01-07 DOI: 10.1109/ICCE53296.2022.9730497

Kazuki Aiura, Kentaro Hayashi, Yuki Tanaka, Kazuhiro Kizaki, T. Fujihashi, S. Saruwatari, Takashi Watanabe

{"title":"Implementation of Distributed Microwave Power Transfer with Backscatter Feedback and LM-Based Phase Optimization","authors":"Kazuki Aiura, Kentaro Hayashi, Yuki Tanaka, Kazuhiro Kizaki, T. Fujihashi, S. Saruwatari, Takashi Watanabe","doi":"10.1109/ICCE53296.2022.9730497","DOIUrl":"https://doi.org/10.1109/ICCE53296.2022.9730497","url":null,"abstract":"To realize a distributed cooperative power transfer system, reduction in the phase optimization time is a major issue. For this purpose, backscatter-based feedback has been proposed as a fast feedback method for the received signal strength of the target node. On the other hand, as existing phase optimization algorithms based on backscatter feedback optimize each Tx antenna, the time required for phase optimization increases as the number of Tx antennas increases. We propose a method that combines backscatter-based feedback and levenberg-marquardt (LM) optimization to further speed up phase optimization. Based on the proposed method, the phase set suitable for the proposed method and initial parameters of the nonlinear regression algorithm are verified. The experiments showed that phase sets based on a continuous function suppressed the frequency spreading caused by the switching of phase sets and the determination of the initial solution based on the received strength improved the received power by 2.5 dB and accelerated the calculation time of the LM method by 10 ms.","PeriodicalId":350644,"journal":{"name":"2022 IEEE International Conference on Consumer Electronics (ICCE)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127952639","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Domain Adaptive Semantic Segmentation through Photorealistic Enhancement of Video Game 基于视频游戏真实感增强的领域自适应语义分割

2022 IEEE International Conference on Consumer Electronics (ICCE) Pub Date : 2022-01-07 DOI: 10.1109/ICCE53296.2022.9730769

Kaito Nakajima, Takafumi Katayama, Tian Song, Xiantao Jiang, T. Shimamoto

引用次数: 1

Inclusive Convolutional Neural Network Design Enabling Partially Sighted People to Expand Viewing-Experience on Smart Screens 包容性卷积神经网络设计使弱视人士在智能屏幕上扩展观看体验

2022 IEEE International Conference on Consumer Electronics (ICCE) Pub Date : 2022-01-07 DOI: 10.1109/ICCE53296.2022.9730586

J. Park, Cheon Lee, Daesung Lim, Seongwoon Jung, Jiman Kim, Junghwa Choi, Youngsu Moon

引用次数: 0

A Framework for Creating Non-Player Characters That Make Psychologically-Driven Decisions 创造做出心理驱动决策的非玩家角色的框架

2022 IEEE International Conference on Consumer Electronics (ICCE) Pub Date : 2022-01-07 DOI: 10.1109/ICCE53296.2022.9730383

Shakir Belle, Curtis L Gittens, T. C. Nicholas Graham

引用次数: 1

5G and User Experience: A Bibliometric Approach 5G与用户体验:文献计量学方法

2022 IEEE International Conference on Consumer Electronics (ICCE) Pub Date : 2022-01-07 DOI: 10.1109/ICCE53296.2022.9730286

Dahye Jeong, Jinyoung Han, Eunil Park, Eun Been Choi, Sangheon Pack

引用次数: 0

An Extensible and Secure Architecture based on Microservices 基于微服务的可扩展安全体系结构

2022 IEEE International Conference on Consumer Electronics (ICCE) Pub Date : 2022-01-07 DOI: 10.1109/ICCE53296.2022.9730757

Roberto S. de O. Júnior, R. C. A. D. Silva, Marcelo Souza Santos, D. Albuquerque, H. Almeida, Danilo F. S. Santos

引用次数: 2

SfM/MVS-based Three-Dimensional Structural Diagnosis System for Damaged Houses 基于SfM/ mvs的受损房屋三维结构诊断系统

2022 IEEE International Conference on Consumer Electronics (ICCE) Pub Date : 2022-01-07 DOI: 10.1109/ICCE53296.2022.9730248

Hiroaki Tamakawa, Hiroshi Yamamoto

{"title":"SfM/MVS-based Three-Dimensional Structural Diagnosis System for Damaged Houses","authors":"Hiroaki Tamakawa, Hiroshi Yamamoto","doi":"10.1109/ICCE53296.2022.9730248","DOIUrl":"https://doi.org/10.1109/ICCE53296.2022.9730248","url":null,"abstract":"In areas where major disasters (e.g., huge earthquakes, heavy rains, floods) occur, the victims need to obtain a “disaster victim certificate”. The certificate proves the degree of the damage to the house and is needed to apply for subsidies and other support for disaster recovery. To issue the certificate, the staff of the local government should survey the damage to the house. However, the number of houses that the staff can survey in one day is limited and the number of staffs cannot easily be increased even in the area where the large disaster occurs. The delay in issuing the certificates slows down the recovery of the disaster area. Therefore, in this study, we propose and develop a new diagnostic system that the surveyors in the remote site can conduct a survey of the damaged house through the Internet. The proposed system creates a three-dimensional model of the damaged house and transmits it to the remote surveyors. The Three-dimensional model of the house is created using SfM/MVS (Structure from Motion/Multi View Stereo) based on the collected images of the exterior of the house, which are taken by the smartphones of the victims themselves and the UAVs (Unmanned Aerial Vehicle) owned by the local government in the disaster area. In addition, to support for detecting the damage condition of the house, we propose a new observation method for the created three-dimensional model to automatically calculate the inclination of the house.","PeriodicalId":350644,"journal":{"name":"2022 IEEE International Conference on Consumer Electronics (ICCE)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132360385","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Detection of Cyclists' Crossing Intentions for Autonomous Vehicles 自动驾驶汽车中骑车人过马路意图的检测

2022 IEEE International Conference on Consumer Electronics (ICCE) Pub Date : 2022-01-07 DOI: 10.1109/ICCE53296.2022.9730559

A. D. Abadi, Yanlei Gu, Igor Goncharenko, S. Kamijo

{"title":"Detection of Cyclists' Crossing Intentions for Autonomous Vehicles","authors":"A. D. Abadi, Yanlei Gu, Igor Goncharenko, S. Kamijo","doi":"10.1109/ICCE53296.2022.9730559","DOIUrl":"https://doi.org/10.1109/ICCE53296.2022.9730559","url":null,"abstract":"Improving the safety of bicycle riders is one of the critical issues for Autonomous Driving. The crossing intention of the cyclist is expected to be predicted from the onboard camera of autonomous vehicle. In a real traffic situation, a cyclist usually turns his or her head to check the situation of the back of him or her before he or she crosses the road. Therefore, the action of turning head is an important signal to indicate the intention of crossing a road. This paper proposes to detect the behavior of the turning head based on the body and head orientation using deep neural networks. The proposed system firstly detects the cyclists and extracts the area of the cyclist based on a segmentation neural network. After that, the image of each cyclist is processed by a pose estimation neural network to detect each joint of the cyclist. Finally, the segmented area of the cyclist and the heatmap of each joint of the cyclist are imported into a classification neural network to estimate the body and head orientation, and further predict the crossing intention of the cyclist. A series of experiments have been performed and the experimental results show that the proposed system has a satisfactory performance compared to the conventional method.","PeriodicalId":350644,"journal":{"name":"2022 IEEE International Conference on Consumer Electronics (ICCE)","volume":"177 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132731043","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Design of Agilev4 and Its Real-time Implementation on an Economic Mobile Platform Agilev4的设计及其在经济移动平台上的实时实现

2022 IEEE International Conference on Consumer Electronics (ICCE) Pub Date : 2022-01-07 DOI: 10.1109/ICCE53296.2022.9730566

Kuan-Hung Chen, Chun-Wei Su

引用次数: 2

WebRTC-based Resource Offloading in Smart Home Environments 基于webrtc的智能家居环境下的资源分流

2022 IEEE International Conference on Consumer Electronics (ICCE) Pub Date : 2022-01-07 DOI: 10.1109/ICCE53296.2022.9730756

Hunseop Jeong, Taehyung Lee, Y. Eom

{"title":"WebRTC-based Resource Offloading in Smart Home Environments","authors":"Hunseop Jeong, Taehyung Lee, Y. Eom","doi":"10.1109/ICCE53296.2022.9730756","DOIUrl":"https://doi.org/10.1109/ICCE53296.2022.9730756","url":null,"abstract":"Web platforms face new demands for emerging applications, which use machine learning models such as pose recognition or object detection. These models require significant computing powers in processing enormous inputs such as images or audios for machine learning computation. These demands are also being generated in smart home appliances based on web platforms. Unfortunately, smart home appliances do not generally have built-in input devices, such as cameras or microphones, due to privacy issues and have limited performance compared to mobile devices. This paper proposes a WebRTC-based resource offloading system for web applications, which allows smart home appliances to use resources of nearby mobile devices as if the resources are their own. We implemented the proposed system, performed experiments on the resource offloading framework, and evaluated the performance using five computation-intensive web applications, which use a machine learning model. Our system was able to run machine learning models, through resource offloading to mobile devices, on smart home appliances without an attached camera, and achieved up to 1.5x speedup, compared to local execution with a camera.","PeriodicalId":350644,"journal":{"name":"2022 IEEE International Conference on Consumer Electronics (ICCE)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134544877","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1